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Scheffé's method

In statistics, Scheffé's method, named after American statistician Henry Scheffé, is a method for adjusting significance levels in a linear regression analysis to account for multiple comparisons. It is particularly useful in analysis of variance (a special case of regression analysis), and in constructing simultaneous confidence bands for regressions…

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Overview

StatisticsAmericanStatisticianHenry SchefféSignificance levels
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The method

MeansFamily-wise error rateErrorsSimple linear regression
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Denoting Scheffé significance in a table

ANOVA
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Overview

The method

Denoting Scheffé significance in a table

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Scheffé's method

Nodes23
Edges22
Triples7
Avg. degree1.91
Density0.086957
Components1

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Scheffé's method

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related to External links · 5
Scheffé's method → Institute, Scheffé's, Standards, Technology, This
is a · 1
Scheffé's method → single-step multiple comparison procedure which applies to the set of estimates of all possible contrasts among the factor level means

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Important terminology

method scheffé textstyle regression confidence contrasts mean scheffé's values comparisons analysis factor tukey kramer subscript variance case levels multiple procedure

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SubjectPredicateObjectConfidenceSrc
Scheffé's methodis asingle-step multiple comparison procedure which applies to the set of estimates of all possible contrasts among the factor level means0.90text
individual observed data valuesinstance ofnot for comparing with individual values0.80text
Scheffé's methodrelated to External linksScheffé's0.60section
Scheffé's methodrelated to External linksThis0.60section
Scheffé's methodrelated to External linksInstitute0.60section
Scheffé's methodrelated to External linksStandards0.60section
Scheffé's methodrelated to External linksTechnology0.60section

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